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The Medical Segmentation Decathlon

The Medical Segmentation Decathlon

Nature Communications (Nat Commun), 2021
10 June 2021
Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
AnnetteKopp-Schneider
Bennett A. Landman
G. Litjens
Bjoern Menze
Olaf Ronneberger
Ronald M.Summers
Bram van Ginneken
Michel Bilello
Patrick Bilic
P. Christ
Richard K G Do
M. Gollub
S. Heckers
Henkjan Huisman
William R. Jarnagin
M. McHugo
S. Napel
Jennifer S. Goli Pernicka
K. Rhode
C. Tobon-Gomez
Eugene Vorontsov
Henkjan Huisman
J. Meakin
Sebastien Ourselin
Manuel Wiesenfarth
Pablo Arbelaez
Byeonguk Bae
Sihong Chen
Laura Alexandra Daza
Jian-Jun Feng
Baochun He
Hyunjin Park
Yuanfeng Ji
F. Jia
Namkug Kim
Ildoo Kim
Dorit Merhof
A. Pai
Beomhee Park
Mathias Perslev
R. Rezaiifar
Oliver Rippel
Ignacio Sarasua
Wei Shen
Jaemin Son
Christian Wachinger
Liansheng Wang
Yan Wang
Yingda Xia
Daguang Xu
Zhanwei Xu
Yefeng Zheng
Amber L. Simpson
Lena Maier-Hein
M. Jorge Cardoso
    OOD
ArXiv (abs)PDFHTML

Papers citing "The Medical Segmentation Decathlon"

50 / 477 papers shown
U-Netmer: U-Net meets Transformer for medical image segmentation
U-Netmer: U-Net meets Transformer for medical image segmentation
Sheng He
Rina Bao
P. E. Grant
Yangming Ou
ViTMedIm
219
18
0
03 Apr 2023
Devil is in the Queries: Advancing Mask Transformers for Real-world
  Medical Image Segmentation and Out-of-Distribution Localization
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution LocalizationComputer Vision and Pattern Recognition (CVPR), 2023
Mingze Yuan
Yingda Xia
Hexin Dong
Zi Chen
Jiawen Yao
...
Bin Dong
Jing Zhou
Le Lu
Ling Zhang
Li Zhang
OODMedIm
193
25
0
01 Apr 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Julio Silva-Rodríguez
Jose Dolz
Ismail Ben Ayed
482
19
0
29 Mar 2023
Label-Free Liver Tumor Segmentation
Label-Free Liver Tumor SegmentationComputer Vision and Pattern Recognition (CVPR), 2023
Qixing Hu
Yixiong Chen
Junfei Xiao
Shuwen Sun
Jieneng Chen
Alan Yuille
Zongwei Zhou
VLM
175
87
0
27 Mar 2023
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
MultiTalent: A Multi-Dataset Approach to Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Constantin Ulrich
Hyunjin Park
Tassilo Wald
M. Zenk
Michael Baumgartner
Klaus H. Maier-Hein
222
56
0
25 Mar 2023
Optimizing the Procedure of CT Segmentation Labeling
Optimizing the Procedure of CT Segmentation Labeling
Yaroslav Zharov
T. Baumbach
Vincent Heuveline
120
0
0
24 Mar 2023
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image SegmentationIEEE Transactions on Medical Imaging (TMI), 2023
Yi Lin
Xiao Fang
Dong Zhang
Kwang-Ting Cheng
Hao Chen
MedIm
593
5
0
23 Mar 2023
Large AI Models in Health Informatics: Applications, Challenges, and the
  Future
Large AI Models in Health Informatics: Applications, Challenges, and the FutureIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Jianing Qiu
Lin Li
Jiankai Sun
Jiachuan Peng
Peilun Shi
...
Bo Xiao
Wu Yuan
Ningli Wang
Dong Xu
Benny Lo
AI4MHLM&MA
285
185
0
21 Mar 2023
Convolutions, Transformers, and their Ensembles for the Segmentation of
  Organs at Risk in Radiation Treatment of Cervical Cancer
Convolutions, Transformers, and their Ensembles for the Segmentation of Organs at Risk in Radiation Treatment of Cervical Cancer
Vangelis Kostoulas
Peter A. N. Bosman
Tanja Alderliesten
UQCV
110
2
0
20 Mar 2023
Feature Alignment and Uniformity for Test Time Adaptation
Feature Alignment and Uniformity for Test Time AdaptationComputer Vision and Pattern Recognition (CVPR), 2023
Shuai Wang
Daoan Zhang
Zipei Yan
Jiang Zhang
Ruizhen Li
TTAOOD
316
60
0
20 Mar 2023
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image
  Segmentation
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image SegmentationIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Zhaohu Xing
Lei Zhu
Lequan Yu
Zhiheng Xing
Liang Wan
189
30
0
18 Mar 2023
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation
Zhaohu Xing
Liang Wan
Huazhu Fu
Guang Yang
Lei Zhu
MedIm
140
97
0
18 Mar 2023
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical
  Imaging Systems
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems
Erik Ostrowski
B. Prabakaran
Mohamed Bennai
128
0
0
14 Mar 2023
ReFit: A Framework for Refinement of Weakly Supervised Semantic
  Segmentation using Object Border Fitting for Medical Images
ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical ImagesInternational Symposium on Visual Computing (ISVC), 2023
B. Prabakaran
Erik Ostrowski
Mohamed Bennai
210
1
0
14 Mar 2023
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for
  Semantic Segmentation in Medical Imaging
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging
Zdravko Marinov
Simon Reiß
D. Kersting
Jens Kleesiek
Rainer Stiefelhagen
196
19
0
13 Mar 2023
Token Sparsification for Faster Medical Image Segmentation
Token Sparsification for Faster Medical Image SegmentationInformation Processing in Medical Imaging (IPMI), 2023
Lei Zhou
Huidong Liu
Joseph Bae
Junjun He
Dimitris Samaras
Prateek Prasanna
MedIm
178
5
0
11 Mar 2023
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for
  Medical Image Segmentation
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Ho Hin Lee
Quan Liu
Shunxing Bao
Qi Yang
Xin Yu
L. Cai
Thomas Z. Li
Yuankai Huo
X. Koutsoukos
Bennett A. Landman
128
18
0
10 Mar 2023
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public
  Benchmark for Pulmonary Airway Segmentation
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation
Minghui Zhang
Yang Wu
Hanxiao Zhang
Yulei Qin
Hao Zheng
...
Raúl San José Estépar
C. Espinosa
Jiayuan Sun
Guang-Zhong Yang
Yun Gu
236
13
0
10 Mar 2023
Bootstrap The Original Latent: Learning a Private Model from a Black-box
  Model
Bootstrap The Original Latent: Learning a Private Model from a Black-box Model
Shuai Wang
Daoan Zhang
Jiang Zhang
Weiwei Zhang
Ruizhen Li
FedML
230
0
0
07 Mar 2023
Leveraging SO(3)-steerable convolutions for pose-robust semantic
  segmentation in 3D medical data
Leveraging SO(3)-steerable convolutions for pose-robust semantic segmentation in 3D medical data
I. Díaz
Mario Geiger
Richard McKinley
3DPC
197
2
0
01 Mar 2023
Frequency Disentangled Learning for Segmentation of Midbrain Structures
  from Quantitative Susceptibility Mapping Data
Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data
Guanghui Fu
Gabriel Jimenez
Sophie Loizillon
Lydia Chougar
Didier Dormont
...
Ninon Burgos
Stéphane Lehéricy
Daniel Racoceanu
O. Colliot
the Iceberg Study Group
209
0
0
25 Feb 2023
Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic
  Vessels via Cross-attention Mechanism
Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention MechanismIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Haopeng Kuang
Dingkang Yang
Shunli Wang
Xiaoying Wang
Lihua Zhang
MedIm
124
15
0
20 Feb 2023
Constrained Empirical Risk Minimization: Theory and Practice
Constrained Empirical Risk Minimization: Theory and Practice
Eric Marcus
Ray Sheombarsing
Jan-Jakob Sonke
Jonas Teuwen
219
1
0
09 Feb 2023
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight
  Inflation Improves Medical Image Segmentation
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation
Yuhui Zhang
Shihua Huang
Zhengping Zhou
M. Lungren
Serena Yeung
ViTMedIm
146
16
0
08 Feb 2023
Multi-Modal Evaluation Approach for Medical Image Segmentation
Multi-Modal Evaluation Approach for Medical Image Segmentation
Seyed Mohammad Reza Modaresi
A. Osmani
Mohammadreza Razzazi
A. Chibani
178
1
0
08 Feb 2023
A Generalized Surface Loss for Reducing the Hausdorff Distance in
  Medical Imaging Segmentation
A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation
A. Celaya
B. Rivière
David T. Fuentes
MedIm
260
18
0
08 Feb 2023
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor
  Segmentation in PET/CT Images
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT ImagesMedical Physics (Lancaster) (Med. Phys.), 2023
Gary Y. Li
Junyu Chen
Se-In Jang
Kuang Gong
Shijie Zhao
ViTMedIm
220
22
0
08 Feb 2023
How Reliable is Your Regression Model's Uncertainty Under Real-World
  Distribution Shifts?
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?
Fredrik K. Gustafsson
Martin Danelljan
Thomas B. Schon
OODUQCV
202
13
0
07 Feb 2023
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular
  Automata
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular AutomataInformation Processing in Medical Imaging (IPMI), 2023
John Kalkhof
Camila González
Anirban Mukhopadhyay
119
23
0
07 Feb 2023
Continual Segment: Towards a Single, Unified and Accessible Continual
  Segmentation Model of 143 Whole-body Organs in CT Scans
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT ScansIEEE International Conference on Computer Vision (ICCV), 2023
Zhanghexuan Ji
Dazhou Guo
Puyang Wang
Ke Yan
Le Lu
...
Qifeng Wang
J. Ge
Mingchen Gao
X. Ye
D. Jin
OOD
301
29
0
01 Feb 2023
CancerUniT: Towards a Single Unified Model for Effective Detection,
  Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection
  of CT Scans
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT ScansIEEE International Conference on Computer Vision (ICCV), 2023
Jieneng Chen
Yingda Xia
Jiawen Yao
K. Yan
Jianpeng Zhang
...
Xin Chen
Jingren Zhou
Alan Yuille
Zai-De Liu
Ling Zhang
ViTMedIm
186
21
0
28 Jan 2023
Active learning for medical image segmentation with stochastic batches
Active learning for medical image segmentation with stochastic batches
Mélanie Gaillochet
Christian Desrosiers
H. Lombaert
UQCV
218
38
0
18 Jan 2023
SegViz: A federated-learning based framework for multi-organ
  segmentation on heterogeneous data sets with partial annotations
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations
Adway U. Kanhere
Pranav Kulkarni
Paul H. Yi
V. Parekh
FedML
236
1
0
17 Jan 2023
A new dataset for measuring the performance of blood vessel segmentation
  methods under distribution shifts
A new dataset for measuring the performance of blood vessel segmentation methods under distribution shiftsPLoS ONE (PLoS ONE), 2023
Matheus V. da Silva
Natália de Carvalho Santos
Julie Ouellette
Baptiste Lacoste
C. H. Comin
302
2
0
11 Jan 2023
MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain
  Adaptation for Breast MRI Segmentation in Small Datasets
MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small DatasetsNeural Networks (Neural Netw.), 2023
Sheng Kuang
Henry C. Woodruff
R. Granzier
T. Nijnatten
M. Lobbes
M. Smidt
Philippe Lambin
S. Mehrkanoon
313
22
0
04 Jan 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
CLIP-Driven Universal Model for Organ Segmentation and Tumor DetectionIEEE International Conference on Computer Vision (ICCV), 2023
Jie Liu
Yixiao Zhang
Jieneng Chen
Junfei Xiao
Yongyi Lu
Bennett A. Landman
Yixuan Yuan
Alan Yuille
Yucheng Tang
Zongwei Zhou
VLMMedIm
579
297
0
02 Jan 2023
DAE-Former: Dual Attention-guided Efficient Transformer for Medical
  Image Segmentation
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
Reza Azad
René Arimond
Ehsan Khodapanah Aghdam
Amirhosein Kazerouni
Dorit Merhof
ViTMedIm
267
138
0
27 Dec 2022
YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style
  Curvilinear Structure Segmentation
YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation
Li Lin
Linkai Peng
Huaqing He
Pujin Cheng
Jiewei Wu
Kenneth K. Y. Wong
Xiaoying Tang
380
19
0
11 Dec 2022
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query
  Embedding
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query EmbeddingIEEE journal of biomedical and health informatics (IEEE JBHI), 2022
Heng Guo
Jianfeng Zhang
K. Yan
Le Lu
Minfeng Xu
MedIm
191
3
0
05 Dec 2022
Active learning using adaptable task-based prioritisation
Active learning using adaptable task-based prioritisation
Shaheer U. Saeed
João Ramalhinho
Mark A. Pinnock
Ziyi Shen
Yunguan Fu
...
D. Barratt
Stephen P. Pereira
Brian R. Davidson
Matthew J. Clarkson
Yipeng Hu
178
8
0
03 Dec 2022
Medical Image Segmentation Review: The success of U-Net
Medical Image Segmentation Review: The success of U-NetIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Reza Azad
Ehsan Khodapanah Aghdam
Amelie Rauland
Yiwei Jia
Atlas Haddadi Avval
Afshin Bozorgpour
Sanaz Karimijafarbigloo
Joseph Paul Cohen
Ehsan Adeli
Dorit Merhof
SSeg
278
673
0
27 Nov 2022
A Comprehensive Survey of Transformers for Computer Vision
A Comprehensive Survey of Transformers for Computer Vision
Sonain Jamil
Md. Jalil Piran
Oh-Jin Kwon
ViT
158
87
0
11 Nov 2022
Exploiting segmentation labels and representation learning to forecast
  therapy response of PDAC patients
Exploiting segmentation labels and representation learning to forecast therapy response of PDAC patientsIEEE International Symposium on Biomedical Imaging (ISBI), 2022
Alexander Ziller
Ayhan Can Erdur
F. Jungmann
Daniel Rueckert
R. Braren
Georgios Kaissis
179
0
0
08 Nov 2022
MONAI: An open-source framework for deep learning in healthcare
MONAI: An open-source framework for deep learning in healthcare
M. Jorge Cardoso
Wenqi Li
Richard Brown
Nic Ma
E. Kerfoot
...
Klaus H. Maier-Hein
S. Aylward
Prerna Dogra
Sebastien Ourselin
Andrew Feng
321
768
0
04 Nov 2022
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive
  Biased kernels
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels
Shrajan Bhandary
Z. Babaiee
D. Kostyszyn
T. Fechter
C. Zamboglou
Anca-Ligia Grosu
Radu Grosu
206
1
0
28 Oct 2022
SINCO: A Novel structural regularizer for image compression using
  implicit neural representations
SINCO: A Novel structural regularizer for image compression using implicit neural representationsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Harry Gao
Weijie Gan
Zhixin Sun
Ulugbek S. Kamilov
AI4CE
219
6
0
26 Oct 2022
How precise are performance estimates for typical medical image
  segmentation tasks?
How precise are performance estimates for typical medical image segmentation tasks?IEEE International Symposium on Biomedical Imaging (ISBI), 2022
Rosana El Jurdi
O. Colliot
UQCV
220
7
0
26 Oct 2022
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical
  Centerline Extraction
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline ExtractionIEEE Transactions on Medical Imaging (IEEE TMI), 2022
L. Jin
Shixuan Gu
D. Wei
Jason Ken Adhinarta
Kaiming Kuang
Yongjie Jessica Zhang
Hanspeter Pfister
Bingbing Ni
Jiancheng Yang
Ming Li
3DPC
402
22
0
18 Oct 2022
Verifiable and Energy Efficient Medical Image Analysis with Quantised
  Self-attentive Deep Neural Networks
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks
Rakshith Sathish
S. Khare
Debdoot Sheet
118
4
0
30 Sep 2022
Dive into Self-Supervised Learning for Medical Image Analysis: Data,
  Models and Tasks
Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks
Chuyan Zhang
Yun Gu
307
0
0
25 Sep 2022
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